4
votes
Accepted
Is there a standardized method to train a reinforcement learning NN by demonstration?
Yes, this is known as imitation learning, which can be divided into
inverse RL (i.e. learn a reward function from demonstrations, then apply RL), and
behaviour cloning (supervised learning applied to ...
- 33.8k
1
vote
Accepted
Does LSTM provide any unique value or advantages compared to other algorithms, including "vanilla" RNN?
LSTMs were the state-of-the-art (SOTA) in many cases (e.g. machine translation) until transformers came along - now I don't really know the SOTA or where LSTMs still perform better than e.g. ...
- 33.8k
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